| Accurate image super-resolution using very deep convolutional networks J Kim, J Kwon Lee, K Mu Lee Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 6315 | 2016 |
| Enhanced deep residual networks for single image super-resolution B Lim, S Son, H Kim, S Nah, K Mu Lee Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 5101 | 2017 |
| Deeply-recursive convolutional network for image super-resolution J Kim, J Kwon Lee, K Mu Lee Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 2673 | 2016 |
| Deep multi-scale convolutional neural network for dynamic scene deblurring S Nah, T Hyun Kim, K Mu Lee Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 1631 | 2017 |
| Visual tracking decomposition J Kwon, KM Lee 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 1515 | 2010 |
| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1320 | 2017 |
| Reweighted random walks for graph matching M Cho, J Lee, K Lee Computer Vision–ECCV 2010, 492-505, 2010 | 538 | 2010 |
| Part-aligned bilinear representations for person re-identification Y Suh, J Wang, S Tang, T Mei, KM Lee Proceedings of the European Conference on Computer Vision (ECCV), 402-419, 2018 | 511 | 2018 |
| Tracking by Sampling Trackers J Kwon, KM Lee 2011 International Conference on Computer Vision, 1195-1202, 2011 | 504 | 2011 |
| FPGA design and implementation of a real-time stereo vision system S Jin, J Cho, X Dai Pham, KM Lee, SK Park, M Kim, JW Jeon IEEE transactions on circuits and systems for video technology 20 (1), 15-26, 2009 | 410 | 2009 |
| V2v-posenet: Voxel-to-voxel prediction network for accurate 3d hand and human pose estimation from a single depth map G Moon, J Yong Chang, K Mu Lee Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 403 | 2018 |
| Robust Stereo Matching Using Adaptive Normalized Cross Correlation Y Heo, K Lee, S Lee Pattern Analysis and Machine Intelligence, IEEE Transactions on, 1-1, 2011 | 327 | 2011 |
| Mobile robot and course adjusting method thereof J Song, S Lee, S Moon, K Lee US Patent 6,496,754, 2002 | 315 | 2002 |
| Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study S Nah, S Baik, S Hong, G Moon, S Son, R Timofte, K Mu Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 302 | 2019 |
| Tracking of a non-rigid object via patch-based dynamic appearance modeling and adaptive basin hopping monte carlo sampling J Kwon, KM Lee 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1208-1215, 2009 | 288 | 2009 |
| A dense stereo matching using two-pass dynamic programming with generalized ground control points JC Kim, KM Lee, BT Choi, SU Lee 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 271 | 2005 |
| Camera distance-aware top-down approach for 3d multi-person pose estimation from a single rgb image G Moon, JY Chang, KM Lee Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 269 | 2019 |
| I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image G Moon, KM Lee European Conference on Computer Vision (ECCV), 2020 | 262 | 2020 |
| Robot cleaner, robot cleaning system and method for controlling same JG Song, J Ko, S Moon, K Lee US Patent 6,732,826, 2004 | 251 | 2004 |
| Depth-based 3d hand pose estimation: From current achievements to future goals S Yuan, G Garcia-Hernando, B Stenger, G Moon, J Yong Chang, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 248 | 2018 |
Sang-Uk LeeProfessor of Department of Electrical and Computer Engineering, Seoul National UniversityVerified email at snu.ac.kr
